Adaptive minimum variance coupled with sign and phase coherence factors in IQ domain for plane wave beamforming

Author(s):  
Francois Varray ◽  
Mohammad Azizian Kalkhoran ◽  
Didier Vray
Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 394
Author(s):  
Xin Yan ◽  
Yanxing Qi ◽  
Yinmeng Wang ◽  
Yuanyuan Wang

The plane wave compounding (PWC) is a promising modality to improve the imaging quality and maintain the high frame rate for ultrafast ultrasound imaging. In this paper, a novel beamforming method is proposed to achieve higher resolution and contrast with low complexity. A minimum variance (MV) weight calculated by the partial generalized sidelobe canceler is adopted to beamform the receiving array signals. The dimension reduction technique is introduced to project the data into lower dimensional space, which also contributes to a large subarray length. Estimation of multi-wave receiving covariance matrix is performed and then utilized to determine only one weight. Afterwards, a fast second-order reformulation of the delay multiply and sum (DMAS) is developed as nonlinear compounding to composite the beamforming output of multiple transmissions. Simulations, phantom, in vivo, and robustness experiments were carried out to evaluate the performance of the proposed method. Compared with the delay and sum (DAS) beamformer, the proposed method achieved 86.3% narrower main lobe width and 112% higher contrast ratio in simulations. The robustness to the channel noise of the proposed method is effectively enhanced at the same time. Furthermore, it maintains a linear computational complexity, which means that it has the potential to be implemented for real-time response.


2017 ◽  
Vol 87 ◽  
pp. 31-37 ◽  
Author(s):  
J.F. Cruza ◽  
J. Camacho ◽  
C. Fritsch

Ultrasonics ◽  
2016 ◽  
Vol 65 ◽  
pp. 23-33 ◽  
Author(s):  
Jinxin Zhao ◽  
Yuanyuan Wang ◽  
Jinhua Yu ◽  
Wei Guo ◽  
Tianjie Li ◽  
...  

Author(s):  
Andreas Austeng ◽  
Carl-Inge Colombo Nilsen ◽  
Are Charles Jensen ◽  
Sven Peter Nasholm ◽  
Sverre Holm
Keyword(s):  

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